An Enhanced Innovative Triangular Trend Analysis of Rainfall Based on a Spectral Approach

Zerouali, Bilel; Al‐Ansari, Nadhir; Chettih, Mohamed; Mohamed, Mohamed A.; Abda, Zaki; Santos, Celso Augusto Guimarães; Zerouali, Bilal; Elbeltagi, Ahmed

doi:10.3390/w13050727

Cited by 20 publications

(2 citation statements)

References 109 publications

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“…It can also be a repetitive, costly, and timeconsuming process to estimate monthly pan evaporation (EP m ) using direct measurement. As a result, in the hydrological field, the introduction of robust and reliable intelligent models is necessary for precise estimation [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation

et al. 2021

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In the present study, estimating pan evaporation (Epan) was evaluated based on different input parameters: maximum and minimum temperatures, relative humidity, wind speed, and bright sunshine hours. The techniques used for estimating Epan were the artificial neural network (ANN), wavelet-based ANN (WANN), radial function-based support vector machine (SVM-RF), linear function-based SVM (SVM-LF), and multi-linear regression (MLR) models. The proposed models were trained and tested in three different scenarios (Scenario 1, Scenario 2, and Scenario 3) utilizing different percentages of data points. Scenario 1 includes 60%: 40%, Scenario 2 includes 70%: 30%, and Scenario 3 includes 80%: 20% accounting for the training and testing dataset, respectively. The various statistical tools such as Pearson’s correlation coefficient (PCC), root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), and Willmott Index (WI) were used to evaluate the performance of the models. The graphical representation, such as a line diagram, scatter plot, and the Taylor diagram, were also used to evaluate the proposed model’s performance. The model results showed that the SVM-RF model’s performance is superior to other proposed models in all three scenarios. The most accurate values of PCC, RMSE, NSE, and WI were found to be 0.607, 1.349, 0.183, and 0.749, respectively, for the SVM-RF model during Scenario 1 (60%: 40% training: testing) among all scenarios. This showed that with an increase in the sample set for training, the testing data would show a less accurate modeled result. Thus, the evolved models produce comparatively better outcomes and foster decision-making for water managers and planners.

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Section: Introductionmentioning

confidence: 99%

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation

et al. 2021

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“…Pakistan is considered as a developing country and under such development phase, the need and requirement of water is increasing with respect to time which leads to uncontrolled and immeasurable economic, political and social issues in the country [3]. Five sub regions of Pakistan in terms of cold and hot climate, mountains area, dry and coastal areas had been identified in 2015 [4].…”

Section: Introductionmentioning

confidence: 99%

Identification of precipitation zones in Pakistan by global wavelet power spectrum

ZAKARIA¹

2022

Sigma J Eng Nat Sci - Sigma Müh Fen Bil Derg

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Regionalization for precipitation is crucial in locating the area for new dams and the area for extra supplies for both developed and urban employment. Regionalization for precipitation permits the confinement of catchment regions of related precipitation highlights and appearances of the framework elements in the zone. Precipitation areas are found inside the Indus River in Pakistan, which could be observed through precipitation frequencies by methods of Global Wavelet Power Spectrum (GWPS). The effects of precipitation zones are obtained by the method of the GWPS. It showed distinctive recurrence everywhere throughout the basin of a couple of regions; notwithstanding, different frequencies are existing with somewhat essentialness that show changes in the precipitation framework. Our aim is to describe the area of Pakistan region into different sub regions based on cold and hot climate, mountains area, dry and coastal areas with frequency patterns A and B. In this work we found the five sub-areas as Region (1, 2, 3, 4 and 5) with frequency patterns A and B.

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Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as Response to Climate Change in a Semiarid Region of Karnataka, India

Kumar,

Kumar S,

Ahmed

et al. 2024

Geotechnologies and the Environment

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An Enhanced Innovative Triangular Trend Analysis of Rainfall Based on a Spectral Approach

Cited by 20 publications

References 109 publications

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation

Identification of precipitation zones in Pakistan by global wavelet power spectrum

Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as Response to Climate Change in a Semiarid Region of Karnataka, India

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